Job descriptionDesign, build, and iterate on data product features that solve business problems to Deliver high-quality, scalable data products that meet user needs and enhance business performance.
Duties & Responsibilities
Key accountabilities
Data Modelling and Development: Creating and maintaining the business-domain aligned data model for the Functional Data Layer that forms the basis for the Group Compliance Data Lake aligned with standards and reference models.
Data product design and prototyping: Design, prototyping and development of data products and solution that address specific business challenges and use cases.
Feature development and enhancement: Building cross-functional features that empower multiple data product users with functionality and capabilities that improve business performance
Data Product lifecycle management: Performing regular reviews on data product adoption and business impact and proposing enhancement, adoption or deprecation based on business value.
Integration with data platforms: Ensuring maximum leverage of group-wide data platform technologies and infrastructure
Desired Experience & Qualification
Knowledge and Skills
HIVE / Trino
Python / FastAPI
Golang
Spark
Angular
Denodo VQL
Postgres / PostGIS
Kafka / Strimsi
Redis
MinIO
REST + GraphQL
AWS or Azure
Banking / Compliance domain expertise (AML/FinCrime preferred)
Technical Competencies
Intermediate Understanding of risk management and data governance principles
Advanced Data Architecture Demonstrated application of data architecture practices including modelling, integration and security
Advanced Data Modelling Proficiency in understanding industry reference models, common modelling standards and annotations with proven application and adaptation to local company context
Intermediate Data Management: Demonstrated experience in creating, managing, and optimizing data products -like analytics dashboards, datasets, data intensive applications or machine learning models which deliver business value
Advanced Data Integration: Full stack integration of data and system components for orchestration and observability in data intensive application stack
Behavioural and Cognitive Competencies
Advanced Problem Solving Ability to generate creative solutions for complex data challenges and prototype data products that deliver measurable business value
Advanced Systems / Design thinking. Understand and manage the interconnections between data products, platforms, and business processes. Break down complex problems into smaller, manageable components and identify patterns, relationships, and root cause
Technical Literacy
An advanced grasp of data architecture principles, modeling techniques, and integration patterns
Ability to work effectively with cross-functional teams and influence stakeholders to adopt data-driven solutions without direct authority
Desired Skills:
Intermediate Understanding of risk management and data governance principles
Advanced Data Modelling Proficiency i
Intermediate Data Management:
Advanced Data Integration: Full stack integration
Desired Work Experience:
More than 10 years